Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit.
The multiple response structure can underlie several different technology-enhanced item types. With the increased use of computer-based testing, multiple response items are becoming more common. This response type holds the potential for being scored polytomously for partial credit. However, there a...
| Publicado en: | Educational & Psychological Measurement Vol. 82; no. 1; pp. 151 - 177 |
|---|---|
| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Feb2022
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=154431106&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 154431106 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Feb2022 vid: 82 iid: 1 pid: 344 pub: Sage Publications Inc. artinfo: ui: 154431106 10.1177/0013164421994636 ppf: 151 ppct: 26 formats: tig: atl: Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit. aug: au: Betts, Joe Muntean, William Kim, Doyoung Kao, Shu-chuan affil: National Council of State Boards of Nursing, Chicago, IL, USA su: Computer assisted instruction Educational tests & measurements Computer adaptive testing Computer assisted testing (Education) Test-taking skills Descriptive statistics Professional licensure examinations sug: subj: Computer assisted instruction Educational tests & measurements Computer adaptive testing Computer assisted testing (Education) Test-taking skills Descriptive statistics Professional licensure examinations keyword: multiple response items polytomous scoring technology-enhanced items multiple response items polytomous scoring technology-enhanced items ab: The multiple response structure can underlie several different technology-enhanced item types. With the increased use of computer-based testing, multiple response items are becoming more common. This response type holds the potential for being scored polytomously for partial credit. However, there are several possible methods for computing raw scores. This research will evaluate several approaches found in the literature using an approach that evaluates how the inclusion of scoring related to the selection/nonselection of both relevant and irrelevant information is incorporated extending Wilson's approach. Results indicated all methods have potential, but the plus/minus and true/false methods seemed the most promising for items using the "select all that apply" instruction set. Additionally, these methods showed a large increase in information per time unit over the dichotomous method. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|